Tools for Technical, Business & Consumer Analysis in AT Product Development: Expanding the Need to Knowledge Model Joseph P. Lane, Center on KT4TT University.

Tools for Technical, Business & Consumer Analysis in AT Product Development:Expanding the Need to Knowledge Model

Joseph P. Lane, Center on KT4TT

University at Buffalo (SUNY), USA

www.kt4tt.buffalo.edu

Need to Knowledge (NtK) Model • Orientation – Actors in innovation process “need to

know”: Problem/Solution; Methods/Outputs; Stakeholder’s roles; Goal in context of technology for socio-economic impacts.

• Integration – Product Development Managers Association (PDMA) New Product Development practices (implementation); Canadian Institutes of Health Research (CIHR) Knowledge to Action Model (communication).

• Validation – Stage-Gate structure populated with supporting evidence (1,000+) excerpts drawn from a scoping review of relevant academic and industry literature published since 1985.

NtK Model Utility

• Clarifies processes and mechanisms underlying technology-based Innovation, by integrating academic & industry literature.

• Establishes linkages between three distinct methods and their respective knowledge outputs for implementation/communication.

• Offers structure to sponsors & grantees for program/project planning, implementation, monitoring and evaluation.

Users requested more details on Technical & Business Analyses

• NtK Steps call for various types of analyses across all three Phases (R, D &P) and in all nine Stages, while Grantees are typically familiar with only a sub-set of them.

• Technical, Market and Customer analyses address three different yet equally critical issues for technological innovation so they must be planned and conducted.

• Time to supplement “what to do” Literature with “how to do” Tools .

Ireland/USA Partnership• Dr. James Condron – Biomedical

Engineer, Dublin Institutes of Technology.

• Professor Eugene Coyle, School of Engineering, DIT.

• Dr. Gerald Craddock & James Hubbard, National Disability Association, Ireland.

• Jennifer Flagg & Michelle Lockett, University at Buffalo, USA.

Five Competency Categories• Electrical/electronic engineering tools: measurement systems, design

and testing systems and mass manufacturing tools.

• Material science tools: required to make the choice for a particular manufacturing material or to examine the characteristics of a potential material.

• Mechanical engineering tools: encompasses the generation and application of heat and mechanical power and the design, production, and use of machines and tools.

• Business tools: such as quantifying customer requirements, benchmarking, marketing tools, business feasibility, process improvement and return on investment.

• Inclusive/Universal Design tools: to ensure that the widest possible audience will be considered in the design process, regardless of age, size, ability or disability.

Type/Range of Tools

Distribution of 79 Tools by Group

Screen Image of Tool Summary

NtK Model’s Toolbox

Go to tools for Technical, Marketing

and Customer Analyses

http://kt4tt.buffalo.edu/knowledgebase/model.php

NtK Model Publications• Lane, J & Flagg, J. (2010) “Translating 3 States of Knowledge: Discovery,

Invention & Innovation.” Implementation Science, 5, 1, 9. http://www.implementationscience.com/content/5/1/9

• Stone, V. & Lane J (2012). “Modeling the Technology Innovation Process: How the implementation of science, engineering and industry methods combine to generate beneficial socio-economic impacts.” Implementation Science, 7, 1, 44. http://www.implementationscience.com/content/7/1/44.

• Lane, JP (2012). The Need to Knowledge Model: An operational framework for knowledge translation and technology transfer. Technology and Disability, 24,187–192. http://iospress.metapress.com/content/f384n4gp042732gx/fulltext.html

• Flagg, J, Lane, J., & Lockett M. (2013) “Need to Knowledge (NtK) Model: An Evidence-based Framework for Generating Technology-based Innovations.” Implementation Science, 8, 21, http://www.implementationscience.com/content/8/1/21

ACKNOWLEDGEMENTThis is a presentation of the Center on Knowledge Translation for Technology Transfer, which is funded by the National Institute on

Disability and Rehabilitation Research, U.S. Department of Education, under grant #H133A080050.

The opinions contained in this presentation are those of the grantee and do not necessarily reflect those of the

U.S. Department of Education.